The impact of price and price changes should not be ignored while designing algorithms for
predicting customer choice. Consumer preferences should be modeled with consideration of …

In this research paper, a comprehensive literature review was undertaken in order to
analyze Natural Language Processing (NLP) application based in different domains. Also …

Purpose This paper aims to offer evidence-based findings on the under-researched role of
finance in the sales and operations planning (S&OP) process, aiming to guide academics …

Big data analytics (BDA) is an advanced analytic technique used with very large and diverse
sets of data from different sources. Natural language processing (NLP) is a technology that …

Diagnosis of diabetes disease is very promising because it may create various other acute
or chronic health problems in the human body. This study proposes a recommendation …

With the increasing complexity of aircraft development programs, the development
processes of aircraft and their subsystems are continuously becoming complicated, leading …

Process mining is concerned with deriving knowledge from process data as recorded in so-
called event logs. The quality of event logs is a constraining factor in achieving reliable …

Retention strategies are important to beauty salon leaders as they directly affect retaining a
reliable workforce. Grounded in self-determination theory, the purpose of this generic …

Data cleaning, the most tedious task of data analysis, can turn into a fun experience when
performed through a game. This thesis shows that the use of gamification and …

The results indicate the need of frequent of human intervention for error correction and test
quality enhancement. Also, the presence of common test smells may indicate a preference …